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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of single nucleotide polymorphisms from the transcriptome of an organism with a whole genome duplication
|
|---|---|
| Published in |
BMC Bioinformatics, November 2013
|
| DOI | 10.1186/1471-2105-14-325 |
| Pubmed ID | |
| Authors |
Kris A Christensen, Joseph P Brunelli, Matthew J Lambert, Jenefer DeKoning, Ruth B Phillips, Gary H Thorgaard |
| Abstract |
The common ancestor of salmonid fishes, including rainbow trout (Oncorhynchus mykiss), experienced a whole genome duplication between 20 and 100 million years ago, and many of the duplicated genes have been retained in the trout genome. This retention complicates efforts to detect allelic variation in salmonid fishes. Specifically, single nucleotide polymorphism (SNP) detection is problematic because nucleotide variation can be found between the duplicate copies (paralogs) of a gene as well as between alleles. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 13% |
| Spain | 1 | 13% |
| Germany | 1 | 13% |
| Norway | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| France | 1 | 2% |
| Unknown | 46 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 35% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 4 | 8% |
| Professor | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 61% |
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Environmental Science | 2 | 4% |
| Mathematics | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 3 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 May 2022.
All research outputs
#4,902,058
of 25,736,439 outputs
Outputs from BMC Bioinformatics
#1,730
of 7,739 outputs
Outputs of similar age
#39,399
of 208,487 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 113 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 208,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.